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--- |
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library_name: transformers |
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license: other |
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base_model: nvidia/segformer-b2-finetuned-cityscapes-1024-1024 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: SegFormer_b2_10 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# SegFormer_b2_10 |
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This model is a fine-tuned version of [nvidia/segformer-b2-finetuned-cityscapes-1024-1024](https://huggingface.co/nvidia/segformer-b2-finetuned-cityscapes-1024-1024) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- epoch: 14.5161 |
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- eval_accuracy_bicycle: 0.8914 |
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- eval_accuracy_building: 0.9612 |
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- eval_accuracy_bus: 0.9483 |
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- eval_accuracy_car: 0.9763 |
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- eval_accuracy_fence: 0.7181 |
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- eval_accuracy_motorcycle: 0.7986 |
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- eval_accuracy_person: 0.9057 |
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- eval_accuracy_pole: 0.7198 |
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- eval_accuracy_rider: 0.7552 |
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- eval_accuracy_road: 0.9902 |
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- eval_accuracy_sidewalk: 0.9345 |
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- eval_accuracy_sky: 0.9831 |
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- eval_accuracy_terrain: 0.7525 |
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- eval_accuracy_traffic light: 0.8652 |
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- eval_accuracy_traffic sign: 0.8838 |
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- eval_accuracy_train: 0.8680 |
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- eval_accuracy_truck: 0.8765 |
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- eval_accuracy_vegetation: 0.9637 |
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- eval_accuracy_wall: 0.7237 |
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- eval_iou_bicycle: 0.7541 |
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- eval_iou_building: 0.9244 |
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- eval_iou_bus: 0.8603 |
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- eval_iou_car: 0.9482 |
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- eval_iou_fence: 0.6075 |
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- eval_iou_motorcycle: 0.6289 |
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- eval_iou_person: 0.7921 |
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- eval_iou_pole: 0.5893 |
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- eval_iou_rider: 0.5955 |
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- eval_iou_road: 0.9835 |
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- eval_iou_sidewalk: 0.8649 |
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- eval_iou_sky: 0.9465 |
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- eval_iou_terrain: 0.6534 |
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- eval_iou_traffic light: 0.6718 |
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- eval_iou_traffic sign: 0.7801 |
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- eval_iou_train: 0.8124 |
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- eval_iou_truck: 0.8174 |
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- eval_iou_vegetation: 0.9245 |
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- eval_iou_wall: 0.6499 |
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- eval_loss: 0.8030 |
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- eval_mean_accuracy: 0.8693 |
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- eval_mean_iou: 0.7792 |
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- eval_overall_accuracy: 0.9609 |
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- eval_runtime: 202.8122 |
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- eval_samples_per_second: 2.465 |
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- eval_steps_per_second: 0.616 |
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- step: 2700 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 3e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 16 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 1000 |
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- num_epochs: 20 |
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- mixed_precision_training: Native AMP |
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### Framework versions |
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- Transformers 4.48.1 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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